deep_learning_tutorial\Efficient Learning of Sparse Representations with an Energy-Based Model.pdf
......................\learning deep architectures for AI.pdf
......................\RBM\A fast learning algorithm for deep belief nets.pdf
......................\...\A new learning algorithm for mean field boltzmann machines.pdf
......................\...\guideTR.pdf
......................\...\modeling image patches with a directed hierarchy of markov random fields.pdf
......................\...\NotesOnCD.pdf
......................\...\On Contrastive Divergence Learning.pdf
......................\...\Reducing the Dimensionality with DNN - science - supp.pdf
......................\...\Reducing the Dimensionality with DNN - science.pdf
......................\slidesBengio.pdf
......................\Stanford 教授 Andrew Ng 的 Deep Learning 教程\01.pdf
......................\.............................................\02.pdf
......................\.............................................\03.pdf
......................\.............................................\04.pdf
......................\.............................................\05.pdf
......................\.............................................\06.pdf
......................\.............................................\07.pdf
......................\.............................................\08.pdf
......................\.............................................\09.pdf
......................\.............................................\10.pdf
......................\.............................................\11.pdf
......................\.............................................\12.pdf
......................\.............................................\13.pdf
......................\.............................................\14.pdf
......................\.............................................\15.pdf
......................\.............................................\16.pdf
......................\.............................................\17.pdf
......................\.............................................\18.pdf
......................\.............................................\19.pdf
......................\.............................................\20.pdf
......................\.............................................\21.pdf
......................\.............................................\22.pdf
......................\.............................................\23.pdf
......................\.............................................\24.pdf
......................\.............................................\25.pdf
......................\.............................................\26.pdf
......................\Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition.pdf
......................\What Regularized Auto-Encoders Learn from the Data Generating Distribut....pdf
......................\RBM
......................\Stanford 教授 Andrew Ng 的 Deep Learning 教程
deep_learning_tutorial